High utility itemset mining (HUIM) is a new emerging field in data mining which has gained growing interest due to its various applications. The goal of this problem is to discover all itemsets whose utility exceeds minimum threshold. The basic HUIM problem does not consider length of itemsets in its utility measurement and utility values tend to become higher for itemsets containing more items...

In almost all current approaches to decision making, it is assumed that a decision problem is described by a set of states and set of outcomes, and the decision maker (DM) has preferences over a rather rich set of acts, which are functions from states to outcomes. However, most interesting decision problems do not come with a state space and an outcome space. Indeed, in complex problems it is o...

and Additional Program Information Abstract List A1 List of Presenters A61 The Foundations and Applications of Utility and Risk network A66

In recent years many prototype systems have been developed for graphically visualizing program execution in an attempt to create a better interface between software engineers and their programs. Several classificationbased taxonomies have been proposed to describe computer program visualization systems and general frameworks have been suggested for implementation. In this paper we provide a fra...